Yuyan Ge

Hi there!

My name is Yuyan Ge (鬲雨妍). I am currently a PhD student in Computer and Information Science (CIS) at the University of Pennsylvania, advised by Prof. René Vidal.

Before joining Penn, I got my master’s degree in Control Science and Engineering from Xi’an Jiaotong University, advised by Prof. Shaoyi Du. I received my Bachelor’s degree in Automation from Xi’an Jiaotong University. During my master’s, I was a visiting student in the IDEA Lab at ShanghaiTech University, advised by Prof. Dinggang Shen.

My research interests lie in machine learning and medical image analysis, with a focus on developing interpretable and reliable AI methods for healthcare.

Recent News

Mar 16, 2026	Our work on cardiac age assessment is accepted by NAA 2026 as an Oral presentation!
Mar 11, 2026	Our work BrainParc is published online in Nature Computational Science!
Mar 06, 2026	Our work SonoYOLO + MedSAM2 is selected as an Oral presentation at ISBI 2026!
Feb 04, 2026	Passed my Research Qualifier! Thanks to my committee: Prof. James Gee, Prof. Kevin Johnson, and Prof. René Vidal.
Nov 30, 2025	Attending RSNA 2025 in Chicago, Nov. 30 – Dec. 4.
Oct 10, 2025	Volunteering at PennAI Symposium at UPenn, Oct. 10–11!
Sep 18, 2025	Our paper C-IP is accepted by NeurIPS 2025!
Aug 11, 2025	Volunteering at CoLLAs 2025 at UPenn, Aug. 11–14!

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Selected Publications

BrainParc: Unified Lifespan Brain Parcellation from Structural MR Images

Jiameng Liu, Feihong Liu, Kaicong Sun, Zhiming Cui, Tianyang Sun, Zehong Cao, Jiawei Huang, Shuwei Bai, Yulin Wang, Yulong Dou, Kaicheng Zhang, Caiwen Jiang, Yuyan Ge, Han Zhang, Feng Shi^*, and Dinggang Shen^*

Nature Computational Science, 2026

Bib Paper DOI Code

@article{liu2026brainparc,
  title = {{BrainParc}: Unified Lifespan Brain Parcellation from Structural {MR} Images},
  author = {Liu, Jiameng and Liu, Feihong and Sun, Kaicong and Cui, Zhiming and Sun, Tianyang and Cao, Zehong and Huang, Jiawei and Bai, Shuwei and Wang, Yulin and Dou, Yulong and Zhang, Kaicheng and Jiang, Caiwen and Ge, Yuyan and Zhang, Han and Shi, Feng and Shen, Dinggang},
  journal = {Nature Computational Science},
  year = {2026},
  doi = {10.1038/s43588-026-00963-5},
}

SonoYOLO + MedSAM2: A Pipeline for Automatic Detection and Segmentation of Regions of Interest in Cardiac Ultrasound Videos

Iraj Shroff, Yuyan Ge^*, and René Vidal^*

In IEEE International Symposium on Biomedical Imaging (ISBI), 2026

Bib Code

@inproceedings{shroff2026sonoyolo,
  title = {{SonoYOLO + MedSAM2}: A Pipeline for Automatic Detection and Segmentation of Regions of Interest in Cardiac Ultrasound Videos},
  author = {Shroff, Iraj and Ge, Yuyan and Vidal, Ren{\'e}},
  booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
  year = {2026},
}

Conformal Information Pursuit for Interactively Guiding Large Language Models

Kwan Ho Ryan Chan^*, Yuyan Ge, Edgar Dobriban, Hamed Hassani, and René Vidal

In Advances in Neural Information Processing Systems (NeurIPS), 2025

Bib Paper arXiv PDF Code Project Poster

@inproceedings{chan2025conformal,
  title = {Conformal Information Pursuit for Interactively Guiding Large Language Models},
  author = {Chan, Kwan Ho Ryan and Ge, Yuyan and Dobriban, Edgar and Hassani, Hamed and Vidal, Ren{\'e}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
}

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Yuyan Ge^*, Kwan Ho Ryan Chan, Pablo Messina, and René Vidal

In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025

Bib Paper arXiv PDF Code Poster

@inproceedings{ge2025ipcrr,
  title = {{IP-CRR}: Information Pursuit for Interpretable Classification of Chest Radiology Reports},
  author = {Ge, Yuyan and Chan, Kwan Ho Ryan and Messina, Pablo and Vidal, Ren{\'e}},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year = {2025},
}

CXR-LT 2024: A MICCAI Challenge on Long-Tailed, Multi-Label, and Zero-Shot Disease Classification from Chest X-ray

Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang^*, and Yifan Peng^*

Medical Image Analysis, 2025

Includes our 1st-place zero-shot classification entry

Bib Paper arXiv DOI

@article{lin2025cxrlt,
  title = {{CXR-LT} 2024: A {MICCAI} Challenge on Long-Tailed, Multi-Label, and Zero-Shot Disease Classification from Chest {X}-ray},
  author = {Lin, Mingquan and Holste, Gregory and Wang, Song and Zhou, Yiliang and Wei, Yishu and Banerjee, Imon and Chen, Pengyi and Dai, Tianjie and Du, Yuexi and Dvornek, Nicha C. and Ge, Yuyan and Guo, Zuwei and Hanaoka, Shouhei and Kim, Dongkyun and Messina, Pablo and Lu, Yang and Parra, Denis and Son, Donghyun and Soto, {\'A}lvaro and Urooj, Aisha and Vidal, Ren{\'e} and Yamagishi, Yosuke and Yan, Pingkun and Yang, Zefan and Zhang, Ruichi and Zhou, Yang and Celi, Leo Anthony and Summers, Ronald M. and Lu, Zhiyong and Chen, Hao and Flanders, Adam E. and Shih, George and Wang, Zhangyang and Peng, Yifan},
  journal = {Medical Image Analysis},
  volume = {106},
  pages = {103739},
  year = {2025},
  doi = {10.1016/j.media.2025.103739},
}

Multi-Scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation

Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du^*, and Dinggang Shen^*

In MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), 2022

Oral presentation

Bib Paper PDF

@inproceedings{ge2022multi,
  title = {Multi-Scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation},
  author = {Ge, Yuyan and Tang, Zhenyu and Ma, Lei and Jiang, Caiwen and Shi, Feng and Du, Shaoyi and Shen, Dinggang},
  booktitle = {MICCAI Workshop on Machine Learning in Medical Imaging (MLMI)},
  pages = {466--475},
  year = {2022},
}

See all publications

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